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by himata4113 101 days ago
I swapped from jetbrains products to lazyvim/nvim and honestly without AI it would have not been possible. The speed I was able to configure it exactly how I wanted and support workflows jetbrains would never support is great.

Escaping the god awful AI implementations in both vscode and jetbrains product is also a refresher. They don't know what the ** is going on, they don't know what users want, but I do and AI being able to extend my IDE in a way that helps me be more productive is very undervalued.
1 comments
hackerInnen 101 days ago
> They don't know what the * is going on

I'd assume that a good portion of people working on things like that know what is going on. My (very very subjective) feeling is that they just spit out WAY more tokens than needed, so that it hits the limit as fast as possible and people buy more. And the people responsible for that are probably the evil evil PM's

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himata4113 101 days ago
I don't know I never once felt that any AI integration in IDE's was actually worth using over a cli and that's a very low bar compared to a tui.
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iLemming 89 days ago
> I never once felt that any AI integration in IDE's was actually worth using over a cli

That's right. I started with Claude in the CLI. But then I found a way to hook it up to my active, running instance of Emacs. And since Emacs is neither an editor, nor an IDE (in the typical sense) but rather a Lisp-REPL with embedded editor, I can now fully control virtually any aspect of my editor via LLM, running in the very same editor.

I can't even describe the feeling - it's absolutely insane. I can for example give the LLM some incident ticket number, then ask it to search for all the relevant Slack conversations, PRs, and Splunk logs, build me some investigation audit log and dump it all into an Org-mode buffer with massive data and then reduce it into a sparse tree where the entire document is folded as much as possible, but the selected information is made visible. Then I can continue the investigation, while the LLM would be adding and removing data from that buffer dynamically (or adjusting the sparse tree), depending of how the investigation proceeds. It's crazy, because I can ask it to programmatically change virtually any behavior of my editor on the fly.

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